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Tech Delivery Subject Matter Expert

Accenture

Tech Delivery Subject Matter Expert

Accenture

·

On-site

·

Full-time

·

1w ago

Project Role: Tech Delivery Subject Matter Expert

Project Role Description: Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes.

Must have skills: SAP Success Factors People Analytics

Good to have skills: NA

Minimum 12 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

Design, configure, and deliver enterprise People Analytics solutions on SAP Success Factors by combining strong functional expertise with AI assisted development and analytics workflows. The role focuses on accelerating insight generation, improving reporting quality, and embedding AI enabled capabilities (pre built analytics, copilots, and insights) into HR decision making—without building or training AI models.

Core Responsibilities:

  • Enterprise Analytics Delivery
  • Design and implement People Analytics dashboards, stories, and reports using SAP Success Factors.
  • Translate HR and business questions into scalable analytical solutions aligned with enterprise standards.
  • Ensure data accuracy, consistency, governance, and compliance across analytics artifacts.
  • AI Assisted Analytics & Productivity
  • Use AI copilots and GenAI tools to accelerate requirements analysis, data exploration, report design, documentation, and validation.
  • Apply AI assisted techniques to surface trends, anomalies, and insights from workforce data.
  • Integrate pre built AI/analytics capabilities available within SAP and adjacent platforms.
  • Integration & Data Foundations
  • Work with data from SAP Success Factors modules and enterprise sources to support end to end analytics.
  • Collaborate on data models, data quality checks, and integration patterns supporting People Analytics.
  • Understand AI concepts (e.g., automated insights, natural language queries) at an applied level, not model training depth.
  • Stakeholder Collaboration
  • Partner with HR, business leaders, and delivery teams to align analytics outputs with business outcomes.
  • Communicate insights clearly to non technical stakeholders using data storytelling techniques.
  • Act as a bridge between HR domain experts, data teams, and AI native specialists.
  • Quality, Governance & Adoption
  • Follow enterprise SDLC, reporting standards, and responsible AI guidelines.
  • Support user adoption through enablement sessions, playbooks, and best practices.
  • Continuously improve analytics solutions using feedback and AI assisted optimization.
  • Primary Skills (Must Have)
  • SAP Success Factors People Analytics (Stories, dashboards, reporting concepts).
  • Strong understanding of HR data, metrics, and workforce analytics.
  • Experience using AI assisted tools or copilots for analytics, reporting, or documentation.
  • Ability to align analytics outcomes with business and HR decision making.
  • Secondary / Good to Have Skills
  • Exposure to other SAP Success Factors modules (e.g., Employee Central).
  • Experience with data analysis, visualization, or reporting best practices.
  • Familiarity with change management and stakeholder enablement.
  • Basic understanding of AI concepts such as automated insights and natural language analytics.
  • What This Role Does Not Require
  • No training of AI/ML models.
  • No ownership of deep ML architectures or MLOps pipelines.
  • Focus is on integration, adoption, and productivity uplift, not AI research.
  • Value Delivered
  • Faster insight generation for HR and business leaders.
  • Higher quality analytics through AI assisted productivity.
  • Scalable People Analytics solutions without dependence on scarce AI native talent.

Additional Information:

  • A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Security L2

0 reports

$84,500

total / year

Base

$33,800

Stock

$42,250

Bonus

$8,450

$59,150

$109,850

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study